Galuh Sahid - Machine Learning Engineer at Parloa

Galuh Sahid

Machine Learning Engineer at Parloa

Berlin, Germany

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Summary

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Senior

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Top School

Galuh Sahid is a Machine Learning Engineer based in Berlin with over 8 years focused on ML, MLOps, and engineering across risk/fraud, NLP, and customer analytics, and a decade of overall experience. She is skilled across the full ML lifecycle, emphasizing MLOps best practices and building self-service tools that empower data teams to move models into production reliably. Currently working on enterprise AI agent evaluations at Parloa, she brings practical deployment experience alongside contributions to well-known open-source projects such as pandas (improving critical documentation around Index and parquet usage). An active speaker at 20+ conferences including PyCon and Google DevFest, she also teaches Python and digital skills to underprivileged communities, blending technical leadership with community impact. Her background in localization and technical writing reveals a knack for clear, user-focused communication that complements her engineering depth.

10 years of coding experience

Bachelor's degree, with Honors (Cum Laude), Computer Science, Bachelor's degree, with Honors (Cum Laude), Computer Science at Universitas Indonesia (UI)

French, English, Indonesian

Stackoverflow

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Github Skills (11)

pandas10

internationalization10

javascript10

localization10

python10

translation10

documentation10

vue-jsx9

data-analysis9

vuex8

Programming languages (8)

C++CSSRustSCSSJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

sdras/object-explorer

Jan 2018 - Jan 2018

🔥 A resource to help figure out what JavaScript object method would be best to use at any given time

Role in this project:

Localization / Internationalization Specialist

Contributions:8 commits, 2 PRs, 3 comments in 11 days

Contributions summary:Galuh primarily contributed to the localization of the "object-explorer" repository, focusing on adding and updating Indonesian translations. The commits involved modifying JavaScript files within the `store/` directory to include Indonesian translations for various object methods. Additionally, the user resolved a conflict and merged a branch related to the Indonesian translation, demonstrating an understanding of version control and collaboration. The user also updated translations for stringify and other methods in the id/index.js file.

figurejavascriptmethodmethod-objectteaching-javascript

pandas-dev/pandas

Sep 2019 - Jan 2020

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Role in this project:

Technical Writer

Contributions:5 commits, 5 PRs, 20 comments in 4 months

Contributions summary:Galuh primarily contributed to documentation updates within the pandas repository. Their work involved refining docstrings in `pd.Index`, correcting errors related to frequency strings, and updating documentation for `to_parquet` and categorical support. These updates improved the clarity and accuracy of the pandas documentation, addressing specific issues raised by the community. Their contributions ensure that users have the information needed to correctly use the pandas library, specifically its functions and parameters related to parquet files.

pythondatalabeled-datamanipulationdataframes

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